Treffer: A flexible semantic database for information retrieval tasks

Title:
A flexible semantic database for information retrieval tasks
Authors:
VOSSEN, P, BOERSMA, P, BON, A, DONKER, T
Source:
Génie linguistique 95 (Montpellier, 27-30 juin 1995). :209-218
Publisher Information:
Nanterre: EC2, 1995.
Publication Year:
1995
Physical Description:
print, 10 ref
Original Material:
INIST-CNRS
Subject Terms:
Sciences exactes et technologie, Exact sciences and technology, Sciences et techniques communes, Sciences and techniques of general use, Sciences de l'information. Documentation, Information science. Documentation, Traitement et recherche de l'information, Information processing and retrieval, Structure et analyse des documents et de l'information, Information and document structure and analysis, Analyse des contenus, Content analysis, Indexation. Classification. Résumé. Synthèses, Indexing. Classification. Abstracting. Syntheses, Sciences de l'information et de la communication, Information and communication sciences, Traitement et recherche d'information, Informatique documentaire, Documentation data processing, Información documental, Lexicographie, Lexicography, Lexicografía, Linguistique appliquée, Applied linguistics, Linguística aplicada, Analyse langage, Language analysis, Análisis lenguaje, Dictionnaire automatique, Automatic dictionary, Diccionario automático, Extraction information, Information extraction, Extractión información, Pondération, Weighting, Ponderación, Recherche documentaire, Document retrieval, Recuperación documental, Texte intégral, Full text, Texto completo, Base donnée lexicale, Lexical database, JURIS-DATA, Orienté domaine, Domain oriented
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Univ. Amsterdam, computer cent. letteren, Amsterdam, Netherlands
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=3145702
Rights:
Copyright 1996 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Sciences of information and communication. Documentation

FRANCIS
Accession Number:
edscal.3145702
Database:
PASCAL Archive

Weitere Informationen

This paper describes a lexical database developed in the Sift project (LRE 62030) for text retrieval tasks. With this database it is possible to extract distributed representations of the meaning of words from (semi-) automatically analyzed Machine Readable Dictionaries (MRDs). Distributed representations consist of semantic features with weights. Representations only differ in weighting so that they can be represented in an n-dimensional space and can be compared using staightforward matching algorithms (Sutcliffe 1991). In Sutcliffe (1992) weighting of features was based on traversal of taxonomic relations extracted from MRDs where features of more general concepts (e.g file) apply to more specific concepts (e.g text file) but by decreasing the weight of the general features.